Evidence map›Paper›PMID 39776477›Full record

ArticleFrontiers in public health2024

Application of targeted high-throughput sequencing as a diagnostic tool for neonatal genetic metabolic diseases following tandem mass spectrometry screening.

Guihua Lai, Qiying Gu, Zhiyong Lai, Haijun Chen, Xiangwen Tu, Junkun Chen, Jungao Huang

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Guihua LaiCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Qiying GuCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Zhiyong LaiCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Haijun ChenCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Xiangwen TuCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Junkun ChenCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.
Jungao HuangCentral Laboratory, Ganzhou Maternal and Child Health Hospital, Ganzhou, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Tandem mass spectrometry (MS/MS) is a crucial technique for detecting inborn errors of metabolism (IEM) in newborns. However, the high false positive rate poses challenges in diagnosing specific types of diseases. Therefore, this study aimed to evaluate the role of targeted next-generation sequencing (NGS) in the accurate diagnosis of positive samples identified through MS/MS screening. Methods: A cohort study of 260,915 newborns was conducted from January 2018 to June 2023 in Ganzhou City, southern China. Heel blood samples were collected within 72 h of birth and subjected to MS/MS analysis. Infants with positive MS/MS results underwent targeted NGS to confirm the diagnosis and identify genetic variants. Results: Among 1,265 suspected cases with positive MS/MS results, 73 were confirmed by NGS, and 12 were identified as carriers of recessive diseases. The overall incidence rate was 1 in 3,574, effectively ruling out 94.2% (1,192/1,265) of the MS/MS false-positive. We found 76 variants in 18 genes associated with 15 types of IEM. Among these, 64.47% (49/76) were pathogenic, 10.53% (8/76) were likely pathogenic. Remarkably, 7.89% (6/76) were identified as novel variants. Variants in Conclusion: Targeted NGS technology can serve as a crucial diagnostic tool for neonatal genetic metabolic diseases following MS/MS screening. Additionally, we identified IEM variant hotspots and some novel variants in our region, which are the underlying causes of disease in patients with IEM.

Indexed as

High-Throughput Nucleotide SequencingNeonatal ScreeningTandem Mass SpectrometryChinaCohort StudiesFemaleHumansInfant, NewbornMaleMetabolism, Inborn Errorsgenetic diagnosisinborn errors of metabolismnewborn screeningtandem mass spectrometrytargeted sequencing

Identifiers

PMID39776477
PMCPMC11703805

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.